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| import os | |
| import subprocess | |
| import sys | |
| from functools import lru_cache | |
| from rvc.lib.tools.prerequisites_download import prequisites_download_pipeline | |
| from tts_service.utils import cache_path | |
| from tts_service.voices import voice_manager | |
| python = sys.executable | |
| def import_voice_converter(): | |
| from rvc.infer.infer import VoiceConverter | |
| return VoiceConverter() | |
| # TTS | |
| def run_tts_script( | |
| tts_text: str, | |
| voice_name: str, | |
| tts_rate: int, | |
| ) -> tuple[str, str]: | |
| tts_script_path = os.path.join("rvc", "lib", "tools", "tts.py") | |
| voice = voice_manager.voices[voice_name] | |
| format = "wav" | |
| output_tts_path = cache_path(voice.tts, "", tts_rate, tts_text, extension=format) | |
| if not os.path.exists(output_tts_path): | |
| command_tts = [ | |
| *map( | |
| str, | |
| [ | |
| python, | |
| tts_script_path, | |
| "", # tts_file | |
| tts_text, | |
| voice.tts, | |
| tts_rate, | |
| output_tts_path, | |
| ], | |
| ), | |
| ] | |
| subprocess.run(command_tts) | |
| output_rvc_path = cache_path(voice.tts, voice.name, tts_rate, tts_text, extension=format) | |
| if not os.path.exists(output_rvc_path): | |
| infer_pipeline = import_voice_converter() | |
| infer_pipeline.convert_audio( | |
| pitch=voice.pitch, | |
| filter_radius=voice.filter_radius, | |
| index_rate=voice.index_rate, | |
| volume_envelope=voice.rms_mix_rate, | |
| protect=voice.protect, | |
| hop_length=voice.hop_length, | |
| f0_method=voice.f0_method, | |
| audio_input_path=str(output_tts_path), | |
| audio_output_path=str(output_rvc_path), | |
| model_path=voice.model, | |
| index_path=voice.index, | |
| split_audio=False, | |
| f0_autotune=voice.autotune is not None, | |
| f0_autotune_strength=voice.autotune, | |
| clean_audio=voice.clean is not None, | |
| clean_strength=voice.clean, | |
| export_format=format.upper(), | |
| upscale_audio=voice.upscale, | |
| f0_file=None, | |
| embedder_model=voice.embedder_model, | |
| embedder_model_custom=None, | |
| sid=0, | |
| formant_shifting=None, | |
| formant_qfrency=None, | |
| formant_timbre=None, | |
| post_process=None, | |
| reverb=None, | |
| pitch_shift=None, | |
| limiter=None, | |
| gain=None, | |
| distortion=None, | |
| chorus=None, | |
| bitcrush=None, | |
| clipping=None, | |
| compressor=None, | |
| delay=None, | |
| sliders=None, | |
| ) | |
| return "Text synthesized successfully.", str(output_rvc_path) | |
| # Prerequisites | |
| def run_prerequisites_script( | |
| pretraineds_v1_f0: bool, | |
| pretraineds_v1_nof0: bool, | |
| pretraineds_v2_f0: bool, | |
| pretraineds_v2_nof0: bool, | |
| models: bool, | |
| voices: bool, | |
| ): | |
| prequisites_download_pipeline( | |
| pretraineds_v1_f0, | |
| pretraineds_v1_nof0, | |
| pretraineds_v2_f0, | |
| pretraineds_v2_nof0, | |
| models, | |
| voices, | |
| ) | |
| return "Prerequisites installed successfully." | |